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ANGROVE management group The colour of remotely sensed and GIS data in the sustainable management of tropical coastal biocomplexity Farid Dahdouh-Guebas.

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Presentation on theme: "ANGROVE management group The colour of remotely sensed and GIS data in the sustainable management of tropical coastal biocomplexity Farid Dahdouh-Guebas."— Presentation transcript:

1 ANGROVE management group The colour of remotely sensed and GIS data in the sustainable management of tropical coastal biocomplexity Farid Dahdouh-Guebas & Nico Koedam Laboratory of General Botany and Nature Management, Laboratory of General Botany and Nature Management, Mangrove Management Group, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium

2 ANGROVE management group Tropical Coastal Biocomplexity MANGROVE FORESTS florafauna manenv. biodiversity ecosystem functioning SEAGRASS BEDS florafauna manenv. biodiversity ecosystem functioning CORAL REEFS florafauna manenv. biodiversity ecosystem functioning overall relevance : biodiversity coastal protection wood and fishery resource

3 ANGROVE management group The colour remote sensing as a monitoring tool from historic aerial photography to VHR satellite imagery GIS as an analysis tool

4 ANGROVE management group Remote sensing and GIS in the sustainable management of tropical coastal ecosystems 8 papers covering tropical coastal areas in Venezuela, Kenya, Sri Lanka and Malaysia

5 ANGROVE management group Resolutions : spatial temporal spectral (radiometric) (taxonomic)

6 ANGROVE management group Identification of species/genera (LK) Verheyden, A., F. Dahdouh-Guebas, K. Thomaes, W. De Genst, S. Hettiarachchi & N. Koedam, 2002. High resolution vegetation data for mangrove research as obtained from aerial photography. tonality texture structure shape shade size position

7 ANGROVE management group Vegetation structure dynamics (LK) Dahdouh-Guebas, F., A. Verheyden, W. De Genst, S. Hettiarachchi & N. Koedam, 2000. Four decade vegetation dynamics in Sri Lankan mangroves as detected from sequential aerial photography : a case-study in Galle. Bulletin of Marine Science 67(2): 741-759. 195619741994

8 ANGROVE management group Identification of species (LK-KE) IKONOS satellite imageryaerial photography pansharpened BGNIR false colour composite panchromatic new space technology (Ikonos, Quickbird) automated identification extra temporal window 2002

9 ANGROVE management group Calzadilla Pérez, A., M.C.J. Damen, D. Geneletti & T. Hobma, 2002. Monitoring a recent delta formation in a tropical coastal wetland using remote sensing and GIS. Case study : Guapo River Delta, Laguna de Tacarigua, Venezuela. Monitoring coastal changes (VE)

10 ANGROVE management group Typification of assemblages/ land cover (KE) Kairo, J.G., B. Kivyatu & N. Koedam, 2002. Application of remote sensing and GIS in the management of mangrove forests within and adjacent to Kiunga Marine Protected Area, Lamu, Kenya.

11 ANGROVE management group Typification of land cover / assemblages (LK) Jayatissa, L.P., M.-C. Guéro, S. Hettiarachchi & N. Koedam, 2002. Changes in vegetation cover and socio-economic transitions in a coastal Lagoon (Kalametiya, Sri Lanka), as observed by teledetection and ground-truthing, can be attributed to an upstream irrigation scheme. socio-economic survey : use of lagoon water fishermen demography (shell)fish catch

12 ANGROVE management group De La Ville, N., A.C. Diaz & D. Ramirez, 2002. Remote sensing and GIS technologies as tools to support sustainable management of areas devastated by landslides. Disaster management (VE)

13 ANGROVE management group Long-term monitoring / integration / forecasting Dahdouh-Guebas, F., J.G.Kairo, L.P. Jayatissa, S. Cannicci & N. Koedam, 2002. An ordination study to view vegetation structure dynamics in disturbed and undisturbed mangrove forests in Kenya and Sri Lanka. Plant Ecology 161(1): 123-135.

14 ANGROVE management group Research challenges remote sensing and GIS innovation; automated integration of image attributes (texture + structure detection) : have the computer done what until now only the human eye is capable of; long-term monitoring (way beyond the scale of projects with a short duration of 4-5 yrs); parallel complementary research from many disciplines; integration of inter-disciplinary data.


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